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“Big  Data,  NLP  And  Machine  Learning”  to  Solve  Real  World  Problem  of  

“Content  Publishing”  

iPredict  Intelligent  Predictability    

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Priori*za*on  Mobile’s  real  estate  is  limited  and  which  arFcle  takes  priority.  

Biased  And  Error  Prone  Humans  are  emoFonal  that  leads  to  bias.  Business  cannot  depend  on  personal  bias.    No  Fast  And  Accurate  Predic*on  

In  Millions  of  ArFcles,  it  is  nearby  impossible  to  search  and  categorize  contents.  

Today’s Content And Media Industry’s Problems Presen t  Offer   L im i ted  V i s i b i l i t y  And  P red i c tab i l i t y  

New  is  Old  When  to  replace  the  new  contents  as  old  is  new  

and  new  is  old.    

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Real Life Example Presen t  Offer   L im i ted  V i s i b i l i t y  And  P red i c tab i l i t y  

Predictability?  Predict  readers  consuming  this  

arFcle  today  and  in  future?    

Viewership?  What  would  be  viewership  of  this  arFcles?  

Sharing?  How  many  clicks  one  can  expect  of  these  arFcles  ?  Op*miza*on?  

How  can  the  writer  improve  and  opFmize  his/her  content  for  specific  

category?  

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Past,  Present  and  Future  ?  Learning  from  past,  validaFng  present  

and  forecasFng  for  Future.    

Being  Human?    RealizaFon  about  Ambiguity,  bias  and  context    in  human  wriXen  language  

Prepare  and  Lead?    How  can  we  prepare  writer  to  evaluate  and  produce  viral  contents  for  specific  categories.  

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Technical Challenges To  ge t   to   the  bes t   su i t ed   so luFon ,  wha t   cha l l enges  we  w i l l   be  ove r   come  

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iPredict    

Use  Natural  Language  Processing  (NLP)  coupled  with  machine  learning  and  big  data,  we  built  iPredict.    

 It  uses  content  and  historical  archives  to  create  intelligent  categorizes,  smart  mapping  and  unbiased  predicFon.  

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Our Solution Pu_ng  Our   Sk i l l s   and  Knowledge   i n  AcFon  

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Content  Collec*on  

 Big  Data  for  

collecFng  content  &  repository  creaFon.  MulFple  source  to  be  more  rich.  

Category  Discovery    

 Automated  And  Unsupervised,  

machine  learning  driven  Categories  (old  and  new)  

Content  Segmenta*on  

 NLP  And  Machine  learning  is  used  for  content  clustering  ,  segmentaFon  with  labeling  structures.  

Model  Training    

 Machine  Learning  

is  used  for  automated  model  training.  Now  we  Ready  to  Predict.  

Fast    Predic*on  

 <1s  per  arFcle  intelligent  

predicFon  giving    tentaFve  readers,  

esFmated  social  sharing    &  content  opFmizaFon.  

How does it work? Mach ine   Lea rn ing  And  NLP  App l i ed   i n to  Pub l i sh ing   I ndus t r y  

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Real Life with iPredict Assu red  Resu l t s  w i th  Mach ine   Lea rn ing ,  NLP   and  B i g  Da ta  

Predicted  Predictability?  Assured  PredicFon  of  readers  consuming  

this  arFcle  today  and  in  future.    

Viewership?  Click  Thru’  Rate  Predicted  Click  Through  Rate  for  higher  revenue.    

Sharing?  Social  Reach  Pre-­‐determine  the  success  of  social  reach  even  before  publishing.  

Op*mized  Op*miza*on?  Assisted  Writer  with  improved  contents  for  chosen  categories.  

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Predict    You  will  get  correct  assessment  with  single  click.  Score  against  1000s  similar  arFcles.  

Improve  Immediate  feedback  on  categories,  readers  and  social  media.  History  teaches  Present  and  Future    

Succeed  Your  performance  booster  without  any  extra  effort  or  burden.    

Empower ing   your   con ten t   c rea to r s  

Writer’s Dream with iPredict

iPredict  

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Please  get  in  touch  with  us  at    vikram@blue-­‐bricks.com  

Thanks